fix: skip response_format parameter for MiniMax models
MiniMax API does not support the response_format parameter with json_object type, causing 400 errors. Added model name detection to conditionally skip this parameter for MiniMax models. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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@ -527,16 +527,21 @@ class OasisProfileGenerator:
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for attempt in range(max_attempts):
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try:
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response = self.client.chat.completions.create(
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model=self.model_name,
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messages=[
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# MiniMax 不支持 response_format 参数,跳过
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kwargs = {
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"model": self.model_name,
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"messages": [
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{"role": "system", "content": self._get_system_prompt(is_individual)},
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{"role": "user", "content": prompt}
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],
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response_format={"type": "json_object"},
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temperature=0.7 - (attempt * 0.1) # 每次重试降低温度
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"temperature": 0.7 - (attempt * 0.1) # 每次重试降低温度
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# 不设置max_tokens,让LLM自由发挥
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)
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}
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if "MiniMax" not in self.model_name and "minimax" not in self.model_name:
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kwargs["response_format"] = {"type": "json_object"}
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response = self.client.chat.completions.create(**kwargs)
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content = response.choices[0].message.content
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@ -58,7 +58,8 @@ class LLMClient:
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"max_tokens": max_tokens,
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}
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if response_format:
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# MiniMax 不支持 response_format 参数,跳过
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if response_format and "MiniMax" not in self.model and "minimax" not in self.model:
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kwargs["response_format"] = response_format
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response = self.client.chat.completions.create(**kwargs)
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